Which Transformer architecture fits my data?
A vocabulary bottleneck in self-attention
Noam Wies 1 Yoav Levine 1 Daniel Jannai 1 Amnon Shashua 1
Abstract unchanged, the chosen ratio between the number of self-
After their successful debut in natural language attention layers (depth) and the dimension of the internal
processing, Transformer architectures are now be- representation (width) varies greatly across different appl ...


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